php-ai / php-ml

src/Phpml/Math/Statistic/Gaussian.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Math\Statistic;
 
@@ -39,7 +39,7 @@ 
         // Ref: https://en.wikipedia.org/wiki/Normal_distribution
         $std2 = $this->std ** 2;
         $mean = $this->mean;
-        return exp(- (($value - $mean) ** 2) / (2 * $std2)) / sqrt(2 * $std2 * pi());
+        return exp(-(($value - $mean) ** 2) / (2 * $std2)) / sqrt(2 * $std2 * pi());
     }
 
     /**

src/Phpml/Classification/Linear/DecisionStump.php

Spacing +10 added lines, -10 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Classification\Linear;
 
@@ -199,8 +199,8 @@ 
             }
 
             // Try other possible points one by one
-            for ($step = $minValue; $step <= $maxValue; $step+= $stepSize) {
-                $threshold = (float)$step;
+            for ($step = $minValue; $step <= $maxValue; $step += $stepSize) {
+                $threshold = (float) $step;
                 list($errorRate, $prob) = $this->calculateErrorRate($threshold, $operator, $values);
                 if ($errorRate < $split['trainingErrorRate']) {
                     $split = ['value' => $threshold, 'operator' => $operator,
@@ -223,7 +223,7 @@ 
     {
         $values = array_column($this->samples, $col);
         $valueCounts = array_count_values($values);
-        $distinctVals= array_keys($valueCounts);
+        $distinctVals = array_keys($valueCounts);
 
         $split = null;
 
@@ -281,7 +281,7 @@ 
         $wrong = 0.0;
         $prob = [];
         $leftLabel = $this->binaryLabels[0];
-        $rightLabel= $this->binaryLabels[1];
+        $rightLabel = $this->binaryLabels[1];
 
         foreach ($values as $index => $value) {
             if ($this->evaluate($value, $operator, $threshold)) {
@@ -295,7 +295,7 @@ 
                 $wrong += $this->weights[$index];
             }
 
-            if (! isset($prob[$predicted][$target])) {
+            if (!isset($prob[$predicted][$target])) {
                 $prob[$predicted][$target] = 0;
             }
             $prob[$predicted][$target]++;
@@ -304,7 +304,7 @@ 
         // Calculate probabilities: Proportion of labels in each leaf
         $dist = array_combine($this->binaryLabels, array_fill(0, 2, 0.0));
         foreach ($prob as $leaf => $counts) {
-            $leafTotal = (float)array_sum($prob[$leaf]);
+            $leafTotal = (float) array_sum($prob[$leaf]);
             foreach ($counts as $label => $count) {
                 if (strval($leaf) == strval($label)) {
                     $dist[$leaf] = $count / $leafTotal;
@@ -355,8 +355,8 @@ 
      */
     public function __toString()
     {
-        return "IF $this->column $this->operator $this->value " .
-            "THEN " . $this->binaryLabels[0] . " ".
-            "ELSE " . $this->binaryLabels[1];
+        return "IF $this->column $this->operator $this->value ".
+            "THEN ".$this->binaryLabels[0]." ".
+            "ELSE ".$this->binaryLabels[1];
     }
 }

src/Phpml/Helper/OneVsRest.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Helper;